Auto-Guided Smart Forklift

dc.contributor.authorThiruchelvam, Stephenraj
dc.contributor.authorPathirana, Thisara
dc.date.accessioned2024-03-26T04:44:34Z
dc.date.available2024-03-26T04:44:34Z
dc.date.issued2023
dc.description.abstractCombination of automation and cognitive ability offers a creative way to change conventional warehouse and logistics processes through the concept of Auto guided smart forklift. The project focused on developing a prototype of a forklift capable of autonomous navigation, obstacle recognition, and adaptive decision-making by using modern technologies and sophisticated sensor systems. The initiative aims to increase operational effectiveness, eliminate human error, and promote workplace safety by automating routine materials handling operations. The project highlights the value of multidisciplinary cooperation in promoting innovation in industrial automation while also showcasing the potential of modern engineering. Through the establishment of new criteria for effectiveness, security, and productivity in warehouse and logistics management, the outcomes of this project have the potential to significantly impact the materials handling environment.en_US
dc.identifier.citationThiruchelvam, Stephenraj; Pathirana, Thisara (2023), Auto-Guided Smart Forklift, 8th International Conference on Advances in Technology and Computing (ICATC 2023), Faculty of Computing and Technology, University of Kelaniya Sri Lanka. Page 7-10.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/27837
dc.publisherFaculty of Computing and Technology, University of Kelaniya Sri Lanka.en_US
dc.subjectAutonomous navigation, Obstacle recognition, Automation, adaptive decision-making.en_US
dc.titleAuto-Guided Smart Forkliften_US

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